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SIENA activities and workshops

Workshops and courses:

  • The Data in the Desert Workshop for the Analysis of Longitudinal Social Network Data will be held June 18-22, 2018 at Arizona State University (Tempe, Arizona, USA). The instructor is Dawn DeLay. The workshop will include an introduction to design of longitudinal social network studies as well as the analysis of longitudinal social network data using RSiena. Please email to [info "at"] with questions.
  • At the SUNBELT XXXVIII International Sunbelt Social Network Conference, to be held June 28 - July 1, 2018 in Utrecht (The Netherlands), Christian Steglich and Robert Krause will teach a workshop Analysing network dynamics and peer influence processes with RSiena; Tom Snijders and Christian Steglich will teach an Advanced RSiena users' workshop.
    Here are the slides.
  • The Mitchell Centre will be running a Summer School at the University of Manchester (UK) July 9-13, 2018. One of the courses will be a Statistical Analysis of Social Networks, taught by Johan Koskinen. The course will treat ERGMs (Exponential Random Graph Models) and Stochastic Actor-Oriented Models (Siena).
    Click here for further information and booking.
  • At the Essex Summer School in Social Science Data Analysis, Filip Agneessens will teach a one-week course Advanced Social Network Analysis - Statistical Analysis for Cross-sectional and Longitudinal Social Network Analysis, 23-27 July, 2018. The first three days will be about Exponential Random Graph Models, the last two days about Stochastic Actor-Oriented Models and Relational Event Models.
    Click here for course content and outline.
  • 7 September 2018 there will be a one-day course about sienaBayes in Groningen.

Previous workshops, still with valuable material:

User Groups:

There exists a User Group for Siena and StOCNET to exchange information and seek technical advice on using the Siena and StOCNET software to analyze network data.
The address is

At R-forge there is an email discussion list for help for programmers of the internal R and C++ code of RSiena.

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